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Faraz Ahmed

FAST · 2020 · i160305
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2020
Education
Address
DOB

Career

Current role
Target role
Skills
React, Python, Tensor Flow, Javascript, HTML

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
MarkBot 
 
MarkBot is an AI-powered marketing and branding content generator, which works for businesses 
of all sizes. A helpful tool for both; nonmarketing and marketing professionals. When you start 
using MarkBot, it requires you to input business name, select the business industry you are part of 
(food, travel, etc) and then finally select your sub-industry (fast food, cooperate tours, etc). That’s 
all! rest work is done automatically. MarkBot uses machine learning to extract out the most 
appropriate colors for your branding use and generates a color palette that matches your business 
industry theme which can be used to style your web or mobile app UI. Furthermore, it generates a 
logo for your brand with colors according to the color theory of that business category. In addition 
to this, MarkBot provides you with valuable insight into your Target Market Audience. It uses 
Twitter data of leading brands of a similar business category to feed into deep learning model 
which extract out the demographics of the people they interact with which can be your potential 
customers as well! This data of demographics can assist you in running ads on social media 
effectively. 
Features Include: 
● Logo generation 
● Color Palette generation 
● Target Audience finding (Age group, gender) 
● Marketing Poster Generation (Planned to implement) 
● Sales Prediction (Planned to implement) 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
React, Python, Tensor Flow, Javascript, HTML 
Supervisor Name: 
Mr. Jawad Hassan Nisar  
Group Members:   
Faraz Ahmed i160305 
Ahmed Abrar i160084

AI enrichment

Faraz Ahmed is a student who contributed to MarkBot, an AI-powered marketing tool that utilizes machine learning and deep learning for logo generation, color palette creation, and target audience analysis. The project involved processing Twitter data to extract demographic insights and was supervised by Mr. Jawad Hassan Nisar.
Skills (AI)
["React", "Python", "TensorFlow", "JavaScript", "HTML", "Machine Learning", "Deep Learning", "Data Analysis"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 205
Created: 1778144016